Adaptive Single-Channel EEG Artifact Removal With Applications to Clinical Monitoring

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 30; pp. 286 - 295
• Main Authors: Dora, Matteo, Holcman, David
• Format: Journal Article
• Language: English
• Published: United States IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Anesthesia; artifact removal; Computer applications; Computing costs; Contamination; Discrete wavelet transforms; EEG; Electrodes; Electroencephalography; Electroencephalography (EEG); Electroencephalography - methods; Humans; Inspection; Licenses; Monitoring; Noise levels; Portable equipment; quantile normalization; Reactive power; Real time; Signal Processing, Computer-Assisted; Temporal resolution; Visual signals; Wavelet Analysis; wavelet transform

Electroencephalography (EEG) has become very common in clinical practice due to its relatively low cost, ease of installation, non-invasiveness, and good temporal resolution. Portable EEG devices are increasingly popular in clinical monitoring applications such as sleep scoring or anesthesia monitor...